No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by bonnard-data · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bonnard-cli safe to install? View the security audit →
Agent-native analytics. One schema, many surfaces. Docs · Getting Started · Changelog · Discord · Website BI tools serve one UI. Bonnard serves everything. Agents over MCP, apps o
| Stars | 50 |
| Forks | 3 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.9845028524476/100 |
| Last Updated | 2026-07-03 |
| Created | 2026-02-17 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~15k |
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bonnard-cli is Archived. Earlier Bonnard product. Current: bonnard.dev / @bonnard/mcp-charts. It is categorized as a MCP Server with 50 GitHub stars.
bonnard-cli is primarily written in TypeScript. It covers topics such as agentic, agentic-analytics, agentic-schema.
You can find installation instructions and usage details in the bonnard-cli GitHub repository at github.com/bonnard-data/bonnard-cli. The project has 50 stars and 3 forks, indicating an active community.
bonnard-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to bonnard-cli on Agent Skills Hub include orionbelt-semantic-layer, orionbelt-semantic-layer, databao-context-engine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: